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文件名称:OpenTLD

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    2012-11-16
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    30.21mb
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OpenTLD,捕食者物体跟踪算法。使用C++实现,不需要Matlab。这个系统能够通过分析物体的运动来完善跟踪算法。你能在很短的时间里教会它跟踪你的手指、面孔或在高速公路上狂颠的轿车。-OpenTLD predator object tracking algorithm. Use C++ to achieve, does not require of Matlab. This system is able to analyze the motion of the object to improve the tracking algorithm. In a very short time you can teach it to keep track of your fingers, face, or mad Britain' s car on the highway.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

datasets/01_david/david.mpg
datasets/01_david/gt.txt
datasets/01_david/init.txt
datasets/01_david/pn_tracker.txt
datasets/02_jumping/gt.txt
datasets/02_jumping/init.txt
datasets/02_jumping/jumping.mpg
datasets/02_jumping/pn_tracker.txt
datasets/03_pedestrian1/gt.txt
datasets/03_pedestrian1/init.txt
datasets/03_pedestrian1/pedestrian1.mpg
datasets/03_pedestrian1/pn_tracker.txt
datasets/03_pedestrian1/TLD1.0.txt
datasets/04_pedestrian2/BeyondSemiBoost.txt
datasets/04_pedestrian2/coGD.original.txt
datasets/04_pedestrian2/coGD.txt
datasets/04_pedestrian2/CVPR.txt
datasets/04_pedestrian2/final_detector.txt
datasets/04_pedestrian2/gt.txt
datasets/04_pedestrian2/init.txt
datasets/04_pedestrian2/initial_detector.txt
datasets/04_pedestrian2/MIL.original.txt
datasets/04_pedestrian2/MIL.txt
datasets/04_pedestrian2/OnlineBoost.txt
datasets/04_pedestrian2/pedestrian2.mpg
datasets/04_pedestrian2/pn_tracker.txt
datasets/04_pedestrian2/SemiBoost.txt
datasets/04_pedestrian2/TLD1.0.txt
datasets/05_pedestrian3/BeyondSemiBoost.txt
datasets/05_pedestrian3/coGD.original.txt
datasets/05_pedestrian3/coGD.txt
datasets/05_pedestrian3/CVPR.txt
datasets/05_pedestrian3/final_detector.txt
datasets/05_pedestrian3/gt.txt
datasets/05_pedestrian3/init.txt
datasets/05_pedestrian3/initial_detector.txt
datasets/05_pedestrian3/MIL.original.txt
datasets/05_pedestrian3/MIL.txt
datasets/05_pedestrian3/OnlineBoost.txt
datasets/05_pedestrian3/pedestrian3.mpg
datasets/05_pedestrian3/pn_tracker.txt
datasets/05_pedestrian3/SemiBoost.txt
datasets/05_pedestrian3/TLD1.0.txt
datasets/06_car/BeyondSemiBoost.txt
datasets/06_car/car.mpg
datasets/06_car/coGD.original.txt
datasets/06_car/coGD.txt
datasets/06_car/CVPR.txt
datasets/06_car/final_detector.txt
datasets/06_car/gt.txt
datasets/06_car/init.txt
datasets/06_car/initial_detector.txt
datasets/06_car/MIL.original.txt
datasets/06_car/MIL.txt
datasets/06_car/OnlineBoost.txt
datasets/06_car/pn_tracker.txt
datasets/06_car/SemiBoost.txt
datasets/06_car/TLD1.0.txt
datasets/07_motocross/BeyondSemiBoost.txt
datasets/07_motocross/bounding_boxes.txt
datasets/07_motocross/coGD.txt
datasets/07_motocross/CVPR.txt
datasets/07_motocross/gt.txt
datasets/07_motocross/init.txt
datasets/07_motocross/initial_detector.txt
datasets/07_motocross/MIL.original.txt
datasets/07_motocross/MIL.txt
datasets/07_motocross/motocross.mpg
datasets/07_motocross/OnlineBoost.txt
datasets/07_motocross/SemiBoost.txt
datasets/07_motocross/TLD1.0.txt
datasets/08_volkswagen/BeyondSemiBoost.txt
datasets/08_volkswagen/coGD.txt
datasets/08_volkswagen/CVPR.txt
datasets/08_volkswagen/gt.txt
datasets/08_volkswagen/init.txt
datasets/08_volkswagen/initial_detector.txt
datasets/08_volkswagen/MIL.original.txt
datasets/08_volkswagen/MIL.txt
datasets/08_volkswagen/OnlineBoost.txt
datasets/08_volkswagen/SemiBoost.txt
datasets/08_volkswagen/TLD1.0.txt
datasets/08_volkswagen/volkswagen.mpg
datasets/09_carchase/BeyondSemiBoost.txt
datasets/09_carchase/carchase.mpg
datasets/09_carchase/coGD.txt
datasets/09_carchase/CVPR.txt
datasets/09_carchase/gt.txt
datasets/09_carchase/init.txt
datasets/09_carchase/MIL.original.txt
datasets/09_carchase/MIL.txt
datasets/09_carchase/OnlineBoost.txt
datasets/09_carchase/SemiBoost.txt
datasets/09_carchase/TLD1.0.txt
datasets/10_panda/BeyondSemiBoost.txt
datasets/10_panda/coGD.txt
datasets/10_panda/CVPR.txt
datasets/10_panda/gt.txt
datasets/10_panda/init.txt
datasets/10_panda/MIL.originaloriginal.txt
datasets/10_panda/MIL.txt
datasets/10_panda/OnlineBoost.txt
datasets/10_panda/panda.mpg
datasets/10_panda/SemiBoost.txt
datasets/10_panda/TLD1.0.txt
datasets/evaluate_all_visual.sh
datasets/evaluate_vis.py
datasets/minbox.py
datasets/readme.pdf
include/FerNNClassifier.h
include/LKTracker.h
include/TLD.h
include/tld_utils.h
src/CMakeLists.txt
src/FerNNClassifier.cpp
src/LKTracker.cpp
src/run_tld.cpp
src/TLD.cpp
src/tld_utils.cpp
dependency.png
grapher.py
LICENSE
parameters.yml
README
run_tld.exe
bin/bounding_boxes.txt
bin/run_tld.exe
datasets/01_david
datasets/02_jumping
datasets/03_pedestrian1
datasets/04_pedestrian2
datasets/05_pedestrian3
datasets/06_car
datasets/07_motocross
datasets/08_volkswagen
datasets/09_carchase
datasets/10_panda
datasets
include
src
bin

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